Learning Fairness in Multi-Agent Systems.


http://papers.nips.cc/paper/9537-learning-fairness-in-multi-agent-systems
@inproceedings{DBLP:conf/nips/JiangL19, author = {Jiechuan Jiang and Zongqing Lu}, editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alch{\'{e}}{-}Buc and Emily B. Fox and Roman Garnett}, title = {Learning Fairness in Multi-Agent Systems}, booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada}, pages = {13854--13865}, year = {2019}, url = {http://papers.nips.cc/paper/9537-learning-fairness-in-multi-agent-systems}, timestamp = {Fri, 06 Mar 2020 16:59:09 +0100}, biburl = {https://dblp.org/rec/conf/nips/JiangL19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }

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